My earlier work spans mechanical logic, radio-based localization, cooperative aerial robots, and satellite electronics.
Explore the research & engineering archiveJoined Ocean Exchange's Americas Review Team, evaluating ocean-innovation proposals.
ആരൻ ജോൺ സാബു
Perception, planning, and control for field robotics.
Ph.D. candidate, Mechanical & Aerospace Engineering
Researcher, Sensing & Robotics for Infrastructure Lab
Joined Ocean Exchange's Americas Review Team, evaluating ocean-innovation proposals.
Our Heron USV field testing at FATHOMWERX and the Port of Hueneme was featured in coverage by FATHOMWERX and Matter Labs.
Joined UCLA Samueli's Summer Undergraduate Research Program (SURP) as a daily lab supervisor for marine-robotics research.
Selected as a UCLA Grad Slam semifinalist, presenting my research in a three-minute talk.
Presented our marine-infrastructure robotics research at UCLA's undergraduate research fair.
Advanced to doctoral candidacy after passing UCLA's University Oral Qualifying Examination.
Began serving as a graduate student representative on UCLA's Committee on Academic Freedom and Legislative Assembly.
Presented research on orbital rendezvous and capture at the IEEE Aerospace Conference. Read the paper.
Reappointed to UCLA's John Wooden Center Board of Governors, continuing my service in campus recreation governance.

GRANDE / ORACLE · Current Research
My current research asks how a robot can turn an inspection request into useful measurements of real infrastructure. I work with the Clearpath Heron unmanned surface vehicle, integrating LiDAR, cameras, inertial sensing, and sonar with mapping and navigation.
GRANDE provides the platform integration; ORACLE investigates language-grounded inspection planning. The work connects mission intent, navigation goals, and inspection viewpoints, with an emphasis on uncertainty and what the robot can actually observe.
Watch field-testing coverageFATHOMWERX · Video by Matter Labs
Adaptive control for orbital capture
Adaptive dynamic tube MPC for rendezvous with tumbling, noncooperative objects under uncertain dynamics and time-varying safety constraints.
Multi-agent space assembly
Distributed allocation, collision-aware motion planning, and attitude consensus for autonomous construction of large orbital structures.
Decentralized learning MPC
A safe-set learning MPC framework with APF warm starts, learned terminal sets, and priority-aware spatial constraints for coordinated agents.
Agile quadrotor trajectory planning
Time-optimal, jerk-constrained trajectory generation through cluttered environments with nonlinear optimization and ROS visualization.
My earlier work spans mechanical logic, radio-based localization, cooperative aerial robots, and satellite electronics.
Explore the research & engineering archiveManuscripts in preparation on field robotics and AI for construction.
ORACLE · In preparation · 2026
In preparation · 2026
In preparation · 2026
Additional manuscripts are in preparation on robotic assessment of submerged cables and reliable marine-robot localization.
My teaching emphasizes conceptual intuition, active problem-solving, and a classroom where students feel comfortable asking difficult questions.
From 2021 to 2026, I taught and mentored across more than ten quarters at UCLA, spanning physics, aeronautics, systems engineering, calculus, and the history of science. This included calculus instruction through UCLA’s Freshman Summer Bridge Program. Earlier work at IIT Bombay included digital electronics, Python instruction, and Malayalam-language STEM outreach through the Open Learning Initiative.
University of California, Los Angeles
University of California, Los Angeles
Indian Institute of Technology Bombay
For research collaborations and student mentorship inquiries, email is the best way to reach me.
aaron@aaronjs.me